Free Salesforce ANC-301 Exam Actual Questions

The questions for ANC-301 were last updated On Mar 30, 2025

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Question No. 1

A consultant creates a CRM Analytics dashboard in a sandbox and it needs to be migrated into production.

What should the consultant use to complete the migration?

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Correct Answer: B

Question No. 2

Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.

The parameters being:

1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.

2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).

Which sharing method works for this scenario?

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Correct Answer: B

For Cloud Kicks' requirements regarding access to data based on roles and geographic regions, the most efficient and scalable approach is to implement row-level security using fields on the user record, like Department or Region. Here's the rationale for choosing this approach:

Scalability and Maintenance: By applying security rules based on user record fields, Cloud Kicks can manage access dynamically without needing to maintain multiple dashboards or datasets. This reduces administrative overhead and simplifies updates as roles or regional structures change.

Flexibility: Using a field on the user record to control access allows for easy expansion or modification of security policies as new regions or roles are added.

Simplicity: This method ensures a clear and straightforward security model that can be easily audited and understood by administrators and compliance teams.


Question No. 3

consultant is tasked with creating an opportunity dataset for a new analytics app. One requirement is to make sure users only see the opportunities they have access to in Salesforce. Opportunity records are private but shared using the role hierarchy. The consultant runs

the sharing inheritance coverage assessment and finds that the VP of sales is not covered by the sharing inheritance. The consultant decides to proceed with using sharing inheritance for the dataset.

What else does the consultant need to do?

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Correct Answer: C

Question No. 4

Universal Containers has a well-defined role hierarchy in Salesforce where everyone is assigned to an appropriate node. The accounts within their instance are categorized by their demography.

An individual sales rep should be able to view all accounts that they own. In addition, sales reps should be able to see any accounts where the value of the account demography matches the demography defined on their user record. A user could have more than one demography defined on their user record.

To meet this requirement, the CRM Analytics consultant has set up a security predicate of the existing 'Account' dataset as follows:

This, however, does not seem to be working as expected.

What is causing the issue?

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Correct Answer: A

The issue with the security predicate not functioning as expected likely stems from a permissions issue related to the custom field Demographic__c on the User object. Here's a detailed explanation:

Field-Level Security: If the sales reps do not have access to the Demographic__c field, the security predicate which references this field cannot execute properly as the system cannot evaluate the predicate without accessing the field.

Permission Settings: Ensuring that the sales reps have the necessary permissions to view and use the Demographic__c field is crucial for the security predicate to function correctly.

Data Visibility: The security model in CRM Analytics relies heavily on the underlying data permissions in Salesforce. If these permissions are not correctly configured, the expected data visibility through CRM Analytics will not be achieved.


Question No. 5

What can a consultant accomplish in the Predictions page of a model?

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Correct Answer: C

In the Predictions page of a model within CRM Analytics (formerly Einstein Discovery), users have the capability to interact with the model to see how different input values affect predictions. Here's a detailed look at what can be accomplished:

Manual Input of Predictor Values: Users can manually input or change values for predictor fields to see how these changes alter the predicted outcomes. This is especially useful for testing hypothetical scenarios and understanding how sensitive the model is to various inputs.

Real-Time Interaction: This functionality provides a hands-on way to explore the model's behavior, offering immediate feedback on how input variations impact predictions, which can help in refining the model or in training users on its application.

Scenario Analysis: By adjusting predictor values, users can conduct scenario analyses, which are crucial for strategic planning and decision-making.